Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron
Jerome Friedman,
Trevor Hastie and
Robert Tibshirani
International Statistical Review, 2020, vol. 88, issue S1, S73-S74
Abstract:
Professor Efron has presented us with a thought‐provoking paper on the relationship between prediction, estimation, and attribution in the modern era of data science. While we appreciate many of his arguments, we see more of a continuum between the old and new methodology, and the opportunity for both to improve through their synergy.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/insr.12414
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:istatr:v:88:y:2020:i:s1:p:s73-s74
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0306-7734
Access Statistics for this article
International Statistical Review is currently edited by Eugene Seneta and Kees Zeelenberg
More articles in International Statistical Review from International Statistical Institute Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().